Senior Data Scientist II

Boardroom Appointments; Cape Town; On-site; ZAR 500 000 - 700 000; Full time

Job summary

A recruitment consultancy is seeking a Data Scientist in Cape Town, South Africa. The role requires a Masters Degree in Data Science or a related field and 3+ years of experience. Responsibilities include evaluating data assets, developing NLP solutions, and collaborating with team members to implement effective software designs. Ideal candidates will have strong analytical skills and experience with algorithmic trade-offs, ensuring high-quality data processes in a collaborative environment.

Qualifications

• 3+ years of relevant work experience.

Responsibilities

• Evaluate and help maintain our data assets and training/evaluation data sets.
• Develop and implement NLP-based information extraction solutions.
• Propose and identify trade-offs of various algorithmic solutions.
• Interface with technical personnel or team members to finalize requirements.
• Work closely with development team members to translate product requirements into designs.
• Implement development processes, coding best practices, and code reviews.

Skills

Data analysis

NLP (Natural Language Processing)

Algorithm design

Team collaboration

Education

Masters Degree in Data Science, Computer Science, Statistics, Machine Learning or related field

Job description

Qualifications

• Masters Degree in Data Science, Computer Science, Statistics, Machine Learning or related field
• 3+ years of relevant work experience

Responsibilities

• Evaluate and help maintain our data assets and training/evaluation data sets
• Develop and implement NLP-based information extraction solutions
• Propose and identify trade-offs of various algorithmic solutions
• Interface with other technical personnel or team members to finalize requirements
• Work closely with other development team members to understand moderately complex product requirements and translate them into software designs
• Successfully implement development processes, coding best practices, and code reviews for production environments